Over 60% of women aged 65 and older suffer from pain, yet this group is underrepresented in research. Physical activity and percussive massage therapy may help manage pain, but both require consistent engagement, making long-term participation challenging for most people. Self-monitoring could improve adherence to these pain management efforts, but the optimal strategies for self-monitoring remain unknown. This is a a 2x2 factorial randomized controlled trial in older women (N = 108) to determine which behavior(s) should be self-monitored to (1) promote engagement in physical activity and percussive massage therapy and (2) reduce pain. This study design will allow examination on effects of self-monitoring across different behaviors to identify the most effective strategies for improving pain management adherence and reducing pain.
Over 60% of women aged 65 and older suffer from pain, yet this group is underrepresented in research. Physical activity and percussive massage therapy may help manage pain, but both require consistent engagement, making long-term participation challenging for most people. Self-monitoring could improve adherence to these pain management efforts, but the optimal strategies for self-monitoring remain unknown. This is a a 2x2 factorial randomized controlled trial in older women (N = 108) to determine which behavior(s) should be self-monitored to (1) promote engagement in physical activity and percussive massage therapy and (2) reduce pain. This study design will allow examination on effects of self-monitoring across different behaviors to identify the most effective strategies for improving pain management adherence and reducing pain.
Physical Activity and Percussive Massage Therapy for Reducing Pain in Older Women
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University of Michigan, Ann Arbor, Michigan, United States, 48109
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
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65 Years to
FEMALE
Yes
University of Michigan,
Shiyu Li, PhD, PRINCIPAL_INVESTIGATOR, University of Michigan
2025-12